将dataframe行转换为dict [英] convert dataframe row to dict

问题描述

我的数据框像下面的示例数据一样.我正在尝试将数据帧中的一行转换为像下面所需输出那样的字典.但是，当我使用to_dict时，会得到索引以及列值.有谁知道如何将行转换为像期望的输出一样的字典?任何提示，不胜感激.

I have datarame like the sample data below. I'm trying to convert one row from the dataframe in to a dict like the desired output below. But when I use to_dict I get the indice along with the column value. Does anyone know how to get convert the row to a dict like the desired output? Any tips greatly appreciated.

Sample data:

print(catStr_df[['Bottle Volume (ml)', 'Pack']][:5])

      Bottle Volume (ml)  Pack
595                  750    12
1889                 750    12
3616                1000    12
4422                 750    12
5022                 750    12


Code:

v = catStr_df[catStr_df['Item Number']==34881][['Bottle Volume (ml)', 'Pack']]\
.drop_duplicates(keep='first').to_dict()

v

Output:

{'Bottle Volume (ml)': {9534: 1000}, 'Pack': {9534: 12}}

Desired output:

{'Bottle Volume (ml)': 1000, 'Pack': 12}

推荐答案

尝试将.to_dict('records')[0]添加到所需行中

catStr_df[catStr_df['Item Number']==34881].to_dict('records')[0]

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